Need these answers as soon as possible. Struggling to figure these out. Thanks 3. A researcher estimates a regression model that contains three variables and a constant, based on a random sample...
3. A researcher estimates a regression model that contains three variables and a constant, based on a random sample of 30 observations. The researcher suspects a problem with positive autocorrelation and wants to test for its existence. She decides to use a 5% level of significance specify the conditions under which she will draw the possible conclusions available with this test, that is what are the appropriate decision rules in this scenario? (10 pts) Consider the following sample regression results: 4. + 1500 X1+5000 X2+8000 X3 (2121.7) (167.1) (365.7) (562.3) n44 R2 = .78 Yhata 27000 where Yannual salary of the employee Xi years of seniority of the employee X2 1 if B.A. is the highest degree of employee; 0 otherwise. X3 1 if M.S. or higher is highest degree of the employee; 0 otherwise. = 1 if high school or lower is highest degree: 0 otherwise. The values in parentheses are estimated standard errors of the coefficients. Why was the variable X4 excluded from the model? (4 pts) a.